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基于多普勒频移原理的紫外线灭菌室智能监控系统
引用本文:姜 涛,张云伟,何 芳. 基于多普勒频移原理的紫外线灭菌室智能监控系统[J]. 农业工程学报, 2009, 25(12): 156-160. DOI: 10.3969/j.issn.1002-6819.2009.12.028
作者姓名:姜 涛  张云伟  何 芳
作者单位:昆明理工大学现代农业工程学院,昆明,650093
基金项目:云南省应用基础研究基金项目(2009ZC041M)
摘    要:为了解决人员误入工作中的灭菌室被紫外线照射的问题,设计了一种基于多普勒频移原理的紫外线灭菌室智能监控系统。根据生物的生命体行为特征,提出一种新的生物识别方法,并建立了多普勒频移数学模型。制作了生物识别模块,采用SPCE061A单片机为控制核心搭建验证平台,进行了生物识别试验。试验结果表明,系统最高识别率为99.58%,紫外线灭菌室智能监控系统满足工作要求。

关 键 词:多普勒频移,超声波,紫外线灯,生物识别,语音识别
收稿时间:2009-07-09
修稿时间:2009-09-11

Intelligent monitoring system for ultraviolet sterilization room based on Doppler shift
Jiang Tao,Zhang Yunwei and He Fang. Intelligent monitoring system for ultraviolet sterilization room based on Doppler shift[J]. Transactions of the Chinese Society of Agricultural Engineering, 2009, 25(12): 156-160. DOI: 10.3969/j.issn.1002-6819.2009.12.028
Authors:Jiang Tao  Zhang Yunwei  He Fang
Affiliation:Faculty of Modern Agricultural Engineering, Kunming University of Science and Technology, Kunming 650093, China,Faculty of Modern Agricultural Engineering, Kunming University of Science and Technology, Kunming 650093, China and Faculty of Modern Agricultural Engineering, Kunming University of Science and Technology, Kunming 650093, China
Abstract:In order to reduce the risk of operators irradiated by the ultraviolet (UV) lamp in sterilization room, an intelligent monitoring system for ultraviolet sterilization room was designed based on Doppler shift. A biological recognition method by feature detection of human body on the move was presented, and the mathematical model of Doppler shift was established. The sample of biological recognition module was produced, and the experimental platform employing SPCE061A microcontroller units (MCU) were developed. The experiments of biological recognition were carried out. The experimental results show that the recognition probability of the intelligent monitoring system can reach 99.58%. This can meet the requirement in actual application.
Keywords:Doppler shift   ultrasonic   ultraviolet lamps   biological recognition   speech recognition
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